usl.solve.nlxb: Solve a USL model using non linear regression
Description
This function solves a USL model using non linear
regression with least squares. It uses the function
nlxb to perform the calculation.
Usage
usl.solve.nlxb(model)
Arguments
model
A data frame with two columns containing the
values of the predictor variable in the first column and
the values of the response variable in the second
column.
Value
A list containing three elements: the scale.factor of the
model, the model coefficients sigma and kappa.
References
John C. Nash. nlmrt: Functions for nonlinear least
squares solutions, 2013. R package version 2013-8.10.